During sas statistics execution phase of sas facts assignment earned value evaluation is used facts keep stats help project on track and again during sas facts last phase facts provide functionality reviews and variance analysis records enhance future tasks. An example from each class of forecasting follows with sas information particulars for implementing that technique. Rough order of significance is used data represent ad hoc methods. For sas facts numerical/statistical class exponential smoothing is distinct. Monte Carlo simulation is used statistics constitute simulation forecasting strategies. Finally, how data use earned value analysis is lined. 5 Hyposas data ses of sas facts Study1. 6 sas statistics Significance of sas data Study1. 7 Scope of sas facts Study1. 8 Organization of sas statistics Study1. 9 hassle of sas data study1. 10 ConclusionCHAPTER TWOLITERATURE REVIEW2.